Source code for laurel.scenario_builders.batt_pow

import re
from copy import deepcopy
from itertools import product
from pathlib import Path
from typing import Self

from laurel.scenario_framework.build import ScenarioBuilder
from laurel.scenario_framework.read import ScenarioReader


[docs] class BatteryPowerScenarioBuilder(ScenarioBuilder): """Create scenarios which scan across battery sizes and charging powers.""" partition_level_names = ( "run_name", "batt_kwh", "depot_kw", "is_mandate_active", "task_id", ) def _build_param_dicts(self) -> tuple[list[Path], list[dict]]: paths, scens = [], [] batt_levels = self.scen_params["battery_capacities_kwh"] dkw_levels = self.scen_params["charge_speed_kw_depot"] mand_levels = self.scen_params["is_mandate_active"] for batt, dkw, mand in product(batt_levels, dkw_levels, mand_levels): pth = Path( self.display_name, f"batt_{batt}", f"depot_{dkw}", f"mand_{mand}" ) cur_vehs = deepcopy(self.params["vehicles"]) cur_vehs["battery_capacity_kwh"] = batt cur_modes = deepcopy(self.params["charging_modes"]) cur_modes["depot"]["max_power_kw"] = dkw cur_samp = deepcopy(self.params["build_sampling_totals"]) cur_samp["filter_totals"]["filters"]["is_mandate_active"]["value_isin"] = [ mand ] scn = { "vehicles": cur_vehs, "charging_modes": cur_modes, "build_sampling_totals": cur_samp, } paths.append(pth) scens.append(scn) return (paths, scens)
[docs] class BatteryPowerScenarioReader(ScenarioReader): """Read scenarios which scan across battery sizes and management strategies.""" builder = BatteryPowerScenarioBuilder metadata_level_names = ("batt_kwh", "depot_kw", "is_mandate_active")
[docs] def extract_metadata(self: Self, path: Path) -> tuple: meta = self.get_metadata_values(path=path) batt = int(re.search(r"(?<=batt_)(\d+)", meta["batt_kwh"]).group()) dkw = int(re.search(r"(?<=depot_)(\d+)", meta["depot_kw"]).group()) mand = bool( eval(re.search(r"(?<=mand_)(.+)", meta["is_mandate_active"]).group()) ) return (batt, dkw, mand)
[docs] def name_scenario(self: Self, path: Path) -> str: meta = self.get_metadata_values(path=path) batt_kwh = re.search(r"(?<=batt_)(\d+)", meta["batt_kwh"]).group() + "kWh" dkw = re.search(r"(?<=depot_)(\d+)", meta["depot_kw"]).group() + "kW" mand = ( "mandate_" + re.search(r"(?<=mand_)(.+)", meta["is_mandate_active"]).group() ) return self.concat_name_components(batt_kwh, dkw, mand, sep=",\n")